In-car voice assistants: The need and potential for AI-enabled voice assistants in vehicles

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dc.contributor.authorLIND JONSSON, AMANDA
dc.contributor.authorHÖGMAN MÖLLER, ELIN
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineeringen
dc.contributor.examinerFjeld, Morten
dc.contributor.supervisorTorre, Ilaria
dc.date.accessioned2024-09-24T05:16:17Z
dc.date.available2024-09-24T05:16:17Z
dc.date.issued2024
dc.date.submitted
dc.description.abstractThis thesis investigates the role of AI-enabled voice assistants within the automotive industry, with a focus on user needs and regional differences between the United States and Sweden. Utilizing a mixed-method approach inspired by the TripTech method, this study collected both quantitative and qualitative data through surveys and expert interviews. The results revealed that more than half of the participants viewed in-car voice assistants (VAs) positively, valuing their safety and convenience for handling tasks and accessing information while driving. However, qualitative insights highlighted flaws in language comprehension and accuracy in current automated dialogue system, such as misdialed contacts due to misunderstood commands. While users from the United States generally perceived less importance in problem scenarios and were less likely to use VAs compared to Swedish users, the potential for generative AI to enhance VAs was recognized. This could lead to improved comprehension and more dynamic user interactions, although concerns about privacy and response accuracy persist. The findings suggest that while generative AI offers promising enhancements for in-car VAs, significant challenges in privacy and accuracy need to be addressed to fully leverage this technology in vehicles.
dc.identifier.coursecodeDATX05
dc.identifier.urihttp://hdl.handle.net/20.500.12380/308789
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectVoice Assistant
dc.subjectGenerative AI
dc.subjectLarge Language Models
dc.subjectAutomotive
dc.subjectTriptech method
dc.subjectuser needs
dc.subjectsurvey
dc.subjectinteraction design
dc.titleIn-car voice assistants: The need and potential for AI-enabled voice assistants in vehicles
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmeInteraction design and technologies (MPIDE), MSc
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